I am a PhD candidate at Department of Material Science and Engineering, TU Delft. My research interests are machine learning methods and computational mechanics. My PhD project focuses on using machine learning method to create new composites for recycled polymers. Before I joined TU Delft, I did my Bachelor and Master at Huazhong University of Science and Technology (HUST) of China. During my Master’s career, I dedicated most of my time on investigating active-learning surrogate methods for reliability analysis.
Education
Oct. 2021 - Present
Delft University of Technology
PhD candidate at ME-MSE, TU Delft.
- Promotor: Marcel Sluiter
- Copromotor:Baris Caglar
- Daily Supervisor : Miguel Bessa
- Research interests: Bayesian deep learning, Uncertainty quantification, Multi-fidelity modeling, Finite Element Simulation
Sep. 2018 - Jun. 2021
Huazhong University of Science and Technology
- Master of Science: Design and Construction of Naval Architecture and Ocean Structure
- GPA: 3.91/4.0
- Master’s thesis: Improved sequential Kriging-Monte Carlo Simulation reliability analysis methods and their applications to ship structural design
Sep. 2014 - Jun. 2018
Huazhong University of Science and Technology
- Bachelor of Engineering: Naval Architecture and Ocean Engineering
- GPA: 3.81/4.0
- Bachelor;s thesis: Strength and stability prediction for cylindrical shell with variable ribs via multi-fidelity surrogate model
Current Interests and Projects:
- Bayesian deep learning
- Uncertainty quantification
- Multi-fidelity modeling
- Finite element simulation